M

MCP Server 5s8

MCP Server is an AI-driven command execution and tool management framework that provides flexible configuration and support for multiple tool types.
2 points
15

What is MCP Server?

MCP Server is an AI-based intelligent command execution platform that provides a unified tool management and task execution framework. It allows users to define various tools and tasks through configuration files and supports AI-driven intelligent command parsing and execution.

How to use MCP Server?

After simple installation and environment configuration, you can define tools and prompt templates through YAML files, and then interact with the server through the API or command line to execute various tasks.

Applicable scenarios

Suitable for development environments that require unified management of multiple tools, automated task execution, AI-assisted development, etc. Particularly suitable for team collaborative development environments.

Main features

Tool managementSupports multiple tool types, including regular tools, script tools, and task tools, which can be flexibly defined through YAML configuration files.
Asynchronous command executionSupports asynchronous execution and status tracking of long-running tasks.
Private configuration supportProvides a private configuration directory with.gitignore, which is convenient for managing sensitive configurations without affecting team-shared code.
Environment managementA unified environment variable management system that supports multi-level configuration loading.

Advantages and limitations

Advantages
A flexible configuration system that supports separation of team-shared and private configurations
A unified tool management interface that simplifies multi-tool integration
Supports asynchronous task execution, suitable for long-running operations
Comprehensive test coverage to ensure system stability
Limitations
Requires a certain learning cost to understand the configuration system
Currently mainly targeted at developers, non-technical personnel may need additional guidance
Asynchronous task management requires an additional status tracking mechanism

How to use

Installation
Use uv or pip to install MCP core components and toolkits.
Environment configuration
Copy the template file to create an.env configuration file and set necessary parameters such as GIT_ROOT and WORKSPACE_FOLDER.
Tool configuration
Define your tools in tools.yaml or create a private configuration version in the.private directory.
Run the server
Start the MCP server to start using the defined tools.

Usage examples

Custom tool integrationIntegrate in-house development tools into the MCP system for unified management
Asynchronous task executionExecute long-running data processing tasks
Environment-specific configurationConfigure different tool parameters for different environments (development/testing/production)

Frequently Asked Questions

How to protect sensitive configuration information?
What types of tools are supported?
How to add a new prompt template?
What is the loading order of environment variables?

Related resources

Configuration templates
Template files for environment configuration and tool definitions
Test cases
Test examples for server functions
MCP architecture diagram
Schematic diagram of server architecture and configuration
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
      "mymcp": {
        "command": "python",
        "args": ["server/main.py"],
        "env": {
          "GIT_ROOT": "${workspaceFolder}"
        }
      },
      "mymcp-sse" : {
        "url": "http://0.0.0.0:8000/sse"
      }
    }
}
Note: Your key is sensitive information, do not share it with anyone.
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